Evidence map›Paper›PMID 34675577›Full record

ArticleClinical, cosmetic and investigational dermatology2021

Comparison of SOX-10, HMB-45, and Melan-A in Benign Melanocytic Lesions.

Sabrina E Dass, Taryn Huizenga, Mehdi Farshchian, Darius R Mehregan

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 26 citations in OpenAlex.

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  3. Optimizing Biopsy Decisions in Benign Longitudinal Melanonychia: A Dermoscopic-Pathologic Study of Nail Matrix Nevus vs. Melanocytic Activation.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sabrina E DassWayne State University School of Medicine, Detroit, MI, USA.
Taryn HuizengaDepartment of Dermatology, Wayne State University, Detroit, MI, USA.
Mehdi FarshchianDepartment of Dermatology, Wayne State University, Detroit, MI, USA.ORCID 0000-0002-5386-9629
Darius R MehreganDepartment of Dermatology, Wayne State University, Detroit, MI, USA.
Wayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDifferent immunohistochemical stains are used in dermatopathology to stain melanocytes and diagnose benign and malignant melanocytic lesions.

methodsSOX-10, HMB-45, and Melan-A immunohistochemical stains were used to assess 32 biopsy specimens with a histologic diagnosis of lentigo. The total number of melanocytes stained with each immunohistochemical stain was counted and an average count was obtained from two readings.

resultsAnalysis of the data revealed a significant difference in staining melanocytes between these three immunostains (p=0.0010, ANOVA). SOX-10 stained 0.195 more melanocytes than HMB-45 (p=0.0026). Similarly, Melan-A stained 0.195 more melanocytes than HMB-45 (p=0.0011). However, the difference between SOX-10 and Melan-A was not statistically significant (p=0.9810).

conclusionSOX-10 and Melan-A immunostaining stain more melanocytes than HMB-45. No significant difference was noted between Melan-A and SOX-10.

Indexed as

atypical junctional melanocytic hyperplasiabenign melanocytic lesionimmunohistochemical stainslentigomelanocytes

Identifiers

PMID34675577
PMCPMC8502009
OpenAlexW3202681833

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.